“Trump-Clinton Probably Won’t Be a Landslide. The Economy Says So.”

As I wrote three months ago:

Conventional wisdom is that fringe candidates get repudiated, à la 1964 and 1972. The story isn’t so simple.

While Hillary Clinton is the consensus of most Democrats, from activists on up to the establishment, Donald Trump is the Republican candidate whom many Republicans want to avoid. . . . From this perspective, Trump’s position resembles that of Barry Goldwater in 1964 and George McGovern in 1972, two ideologically extreme candidates—Goldwater on the right and McGovern on the left—who were handicapped by strong opposition within their parties, limped through their campaigns, and got destroyed by over 20 percentage points in the general election. To add to the analogy, these candidates’ opponents—Presidents Lyndon Johnson and Richard Nixon—were, like Hillary Clinton, viewed by many voters as cynical, calculating politicians rather than inspiring leaders. Those two years, 1964 and 1972, still stand as cautionary lessons about the fate of any fringe candidate who manages to grab the presidential nomination without having secured the backing of his party’s establishment.

But Donald Trump seems to be defying political gravity. . . . What is happening? . . .

The biggest difference between 2016 and 1964/1972 has nothing to do with the candidates or the conventions or ideology or endorsements or the fracturing of political parties. It turns out that, according to many years of research from political scientists, the most important determinants of presidential elections in the past half-century or more have not been the character or political ideology of candidates, or even the strengths of their parties, but rather the state of the economy.

To emphasize the key role of the economy in setting the stage for presidential elections is not to be an economic determinist. Regression models predicting the election outcome from the economy have large error terms. But the economics-based forecast is a good starting point. . . .

And here’s what was special about 1964 and 1972: These were two of the three strongest years for the economy in the postwar era, with per-capita income growth in the 4 percent range, and the candidates running for re-election—Johnson and Nixon—won in landslides, as would be predicted. (The other strong election year in terms of economic growth was 1984, when Ronald Reagan reaped the electoral benefit.)

But 2016 is not like 1964 or 1972. The economy is slowly recovering, no longer in recession, but it is certainly not booming as in those earlier years. According to the U.S. Bureau of Economic Analysis, per-capita personal income has been growing at an annual rate of 2.5 percent during the past year and 1.2 percent averaged over the past four years. These numbers are OK but not stunning and do not foretell an electoral landslide, in either direction. Going by economic indicators, we’re looking at a close election, perhaps slightly favoring the incumbent party’s candidate, depending on how strongly one weights the most recent economic performance.

For example, here is Doug Hibbs’s forecast. I’m not saying I swear by Hibbs’s exact calculation—when I tried to set up his model, I got a forecast of 52% of the 2-party vote for Clinton, which is not quite what Hibbs reports, and one could jiggle this further by adjusting for presidential popularity (a slight plus for the Democrats), incumbent not running for reelection (a slight plus for the Republicans), and party balancing (a slight plus for the Democrats), but I buy Hibbs’s general point, not that the Democrats are guaranteed to win but that the fundamentals predict a close election with a slight edge to the Democrats and enough uncertainty to make the campaign interesting. So, yes the campaign matters but given what we know about elections it’s no surprise where the polls currently stand.

11 thoughts on ““Trump-Clinton Probably Won’t Be a Landslide. The Economy Says So.”

  1. Any serious analysis of Trump’s rise should really include consideration of Trump’s demagoguery on the immigration issue.

    Trump seized on an orphaned issue that has tapped into a vein of ugly sentiment in the country. Consider that half the country (including a third of Democrats) supports his most extreme position on immigration, the ban on Muslim immigration. So Trump is not an extremist, a la Goldwater and McGovern, on immigration. Quite the opposite.

    Also, now that the polls have tightened up, it has become very important to understand why there are systematic biases in the various polls. Any insight you might have would be very timely. Model error may be more important than sampling error right now.

    http://www.realclearpolitics.com/epolls/2016/president/us/general_election_trump_vs_clinton-5491.html
    http://www.realclearpolitics.com/epolls/2016/president/us/general_election_trump_vs_clinton_vs_johnson_vs_stein-5952.html

  2. Clinton’s lead is currently around 4 points. That is not a landslide, but it is also not a close election; especially if we judge the polls by Clinton’s consistency of dominance rather than her current standing. He’s got a chance, but it would still be a surprise if Trump won.

  3. The figure from Hibbs is striking, but it is also interesting that the average magnitude of the residuals seems to be considerably larger in the post-1992 (or perhaps 1988) era compared to the earlier elections. Before ’88, only McGovern’s defeat and Ike’s re-election show much deviation from the model’s predictions.

    • Mark:

      Yes, but that’s because Hibbs keeps adding correction factors to his model. If you just do the basic regression predicting incumbent party vote share from the economy, you get various big errors throughout, and thus a large predictive uncertainty. Historically speaking, the economy gives us a clue about what might happen in the election, but there’s still a lot of residual variation.

  4. Dear Andrew,

    I am curious about why the major polls had Clinton winning and trying to find what the actual flaw was… Searching on Googl, I saw your post stating Clinton’s victory wouldn’t have been obvious. Could you please point me to a post-election analysis – if you know any – of statistical models used to predict Trump as the winner in major polls and why they failed to predict correctly?

    Regards,
    Tooraj

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